Atrial Fibrillation Clinical Trial
— MEDEAOfficial title:
Mitigating the Health Effects of Desert Dust Storms Using Exposure-Reduction Approaches: Assessment of Health Outcomes in Children With Asthma and in Adults With Atrial Fibrillation During Desert Dust Storms (With vs Without Interventions)
Verified date | February 2023 |
Source | University of Cyprus |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The MEDEA project is envisioned to provide the field-based evidence for the adoption of a strategic plan for mitigating the health effects of desert dust storm (DDS) events in South-Eastern Europe. Over the past decade, several studies have demonstrated that DDS in Mediterranean countries, originating mostly from the Sahara and Arabian Peninsula deserts, have been increasing in number and magnitude and linked it to desertification, climatic variability and global warming. EU legislation considers DDS impossible to prevent, implicitly harmless and discounts their contribution to daily and annual air quality standards of particulate matter up to 10 microns (PM10). However, there is increasing evidence from epidemiological studies, which correlates exposure to PM10 during DDS with a significant increase in mortality and hospital admissions from cardiovascular and respiratory causes. Therefore, there is a pressing need for EU policies to reduce population exposures and increase individual, population and institutional resilience to the growing frequency and intensity of DDS. MEDEA ultimate goal is to demonstrate the feasibility and effectiveness of an adaptation strategy to DDS and better inform EU policy making. The adaptation strategy will be carried out within two panel studies, with two different groups of patients; 1. Children with asthma and 2. Adults with atrial fibrillation (AF). The primary objective will be to quantify the vulnerability of children with asthma and adults with AF during DDS outbreaks and provide evidence-based estimates demonstrating which interventions/recommendations work best in mitigating adverse health effects in this group of patients after randomization of each group of patients to three parallel intervention groups: a) No intervention for DDS; b) Intervention for outdoor exposure reduction, and c) Interventions for both outdoor and indoor exposure reduction. The secondary objective of the study is to demonstrate which of the recommendations are effective in reducing outdoor and indoor exposures to DDS in a panel of children with asthma and in a panel of AF adults. Intervention: Each group of patients (children with asthma and AF patients) will be recruited and will be randomized during the high DDS outbreaks season (Spring 2019 and 2020) with 1:1:1 ratio into three parallel groups to receive: a) No intervention for DDS; b) Intervention for outdoor exposure reduction, by reducing the time spend outdoors and by avoiding physical activity and c) Interventions for outdoor (as above) and indoor exposure reduction (by minimizing home ventilation and filtering indoor air). Disease-related adverse health outcomes will be assessed in the three parallel arms of the study. Approaches for delivering the intervention: A bidirectional, patient-centered e-Platform will be developed in order to facilitate prompt communication with the participants and provide early warnings regarding forecasted upcoming DDS events through text messaging and smartphone applications. Furthermore, the same IT platform and mobile application will be utilised for the dissemination of the exposure reduction guidelines that the participants will follow. Assessment of adherence to intervention: 1.Monitor compliance to exposure-reduction guidelines using remote sensors. The intervention for outdoor exposure reduction, entailing reduction of the time spend outdoors and avoidance of physical activity, will be assessed with the use of smart wristwatches that will be equipped with Global Positioning System (GPS) and an accelerometer. 2.The intervention for indoor exposure reduction, entailing minimization of home ventilation and filtering of indoor air, will be assessed with the use of particle samplers that will be placed outside and inside of houses and school classrooms.
Status | Completed |
Enrollment | 310 |
Est. completion date | December 31, 2022 |
Est. primary completion date | December 31, 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 6 Years and older |
Eligibility | Inclusion Criteria for Children with asthma: The inclusion criteria for this panel study will be children with physician-diagnosed asthma for at least one year and with at least one of the following: - Anti-asthma medication in the past year, - Wheezing in the past year, or - An unscheduled medical visit for asthma in the past year. Exclusion Criteria for Children with asthma: The exclusion criteria will be: - Lung disease other than asthma - Cardiovascular disease - Not living at least 5 days per week in the household Inclusion Criteria for AF patients: The inclusion criteria for this panel study will be patients with permanent dual lead (atrial and ventricular) pacemaker or ICD implanted at least two months prior to randomization, with: - A history of AF or - Detection of AF in pacemaker/ICD monitoring Exclusion Criteria for AF patients: The exclusion criteria will be: - Permanent AF - Patients with reversible causes of AF (eg hyperthyroidism) - Inability to understand and use study tools (smartphones, software applications) - Terminal illness - Active smoking - Not living at least 5 days per week in the household. |
Country | Name | City | State |
---|---|---|---|
Cyprus | Medical School, University of Cyprus | Nicosia | Aglantzia |
Greece | School of Medicine, University of Crete | Heraklion | Crete |
Israel | Soroka University Medical Center | Be'er Sheva |
Lead Sponsor | Collaborator |
---|---|
University of Cyprus | Cyprus Broadcasting Corporation, Cyprus University of Technology, Department of Labor Inspection, Ministry of Labor, Welfare and Social Insurance, Cyprus, Department of Meteorology, Ministry of Agriculture, Rural Development and Environment, Cyprus, E.n.A Consulting LP, Soroka University Medical Center, University of Crete |
Cyprus, Greece, Israel,
Achilleos S, Evans JS, Yiallouros PK, Kleanthous S, Schwartz J, Koutrakis P. PM10 concentration levels at an urban and background site in Cyprus: the impact of urban sources and dust storms. J Air Waste Manag Assoc. 2014 Dec;64(12):1352-60. doi: 10.1080/10962247.2014.923061. — View Citation
Gerasopoulos E, et al. Origin and variability of particulate matter (PM10) mass concentrations over the Eastern Mediterranean. Atmos Environ 2006; 40:4679-4690.
Griffin DW. Atmospheric movement of microorganisms in clouds of desert dust and implications for human health. Clin Microbiol Rev. 2007 Jul;20(3):459-77, table of contents. doi: 10.1128/CMR.00039-06. — View Citation
Krasnov H, Katra I, Koutrakis P, Friger MD. Contribution of dust storms to PM10 levels in an urban arid environment. J Air Waste Manag Assoc. 2014 Jan;64(1):89-94. doi: 10.1080/10962247.2013.841599. — View Citation
Leski TA, Malanoski AP, Gregory MJ, Lin B, Stenger DA. Application of a broad-range resequencing array for detection of pathogens in desert dust samples from Kuwait and Iraq. Appl Environ Microbiol. 2011 Jul;77(13):4285-92. doi: 10.1128/AEM.00021-11. Epub 2011 May 13. — View Citation
Mallone S, Stafoggia M, Faustini A, Gobbi GP, Marconi A, Forastiere F. Saharan dust and associations between particulate matter and daily mortality in Rome, Italy. Environ Health Perspect. 2011 Oct;119(10):1409-14. doi: 10.1289/ehp.1003026. — View Citation
Middleton N, Yiallouros P, Kleanthous S, Kolokotroni O, Schwartz J, Dockery DW, Demokritou P, Koutrakis P. A 10-year time-series analysis of respiratory and cardiovascular morbidity in Nicosia, Cyprus: the effect of short-term changes in air pollution and dust storms. Environ Health. 2008 Jul 22;7:39. doi: 10.1186/1476-069X-7-39. — View Citation
Neophytou AM, Yiallouros P, Coull BA, Kleanthous S, Pavlou P, Pashiardis S, Dockery DW, Koutrakis P, Laden F. Particulate matter concentrations during desert dust outbreaks and daily mortality in Nicosia, Cyprus. J Expo Sci Environ Epidemiol. 2013 May-Jun;23(3):275-80. doi: 10.1038/jes.2013.10. Epub 2013 Feb 20. — View Citation
Querol X, et al. African dust contributions to mean ambient PM10 mass-levels across the Mediterranean, Basin. Atmos Environ 2009; 43:4266-4277
Samoli E, Nastos PT, Paliatsos AG, Katsouyanni K, Priftis KN. Acute effects of air pollution on pediatric asthma exacerbation: evidence of association and effect modification. Environ Res. 2011 Apr;111(3):418-24. doi: 10.1016/j.envres.2011.01.014. — View Citation
Vodonos A, et al. The impact of desert dust exposures on hospitalizations due to exacerbation of chronic obstructive pulmonary disease. Air Qual Atmos Health 2014; 7:433-439
* Note: There are 11 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Comparison of Asthma Control Test (ACT) questionnaire score between the no intervention group and the intervention groups in asthmatic children during the high DDS period of 2019 | An improvement of more than 3 points in the ACT or an ACT score>=20 during the high DDS period will be considered. The ACT is a 5-item patient-based assessment that measures dimensions of asthma control. Each item is assessed on a 5-point scale. The scores are summed to give a total score ranging from 5-25. A score of>=20 denotes 'well-controlled asthma', a score of 16-19 denotes 'not well-controlled asthma', and a score of<=15 denotes 'very poorly controlled asthma'. Each month, the combined effect of the ACT will be compared in the two intervention groups vs. the no intervention group. Next, investigators will compare between each of the intervention groups and no intervention group and between the intervention groups. A validated-Greek ACT will be performed via phone interviews at baseline and then at every 1 month during the high DDS period. The frequency of respiratory symptoms will be assessed via child's responses to questions on daytime-night-time symptoms in the past 4 weeks | 4 months | |
Primary | Comparison of Asthma Control Test (ACT) questionnaire score between the no intervention group and the intervention groups in asthmatic children during the high DDS period of 2020 | An improvement of more than 3 points in the ACT or an ACT score>=20 during the high DDS period will be considered. The ACT is a 5-item patient-based assessment that measures dimensions of asthma control. Each item is assessed on a 5-point scale. The scores are summed to give a total score ranging from 5-25. A score of>=20 denotes 'well-controlled asthma', a score of 16-19 denotes 'not well-controlled asthma', and a score of<=15 denotes 'very poorly controlled asthma'. Each month, the combined effect of the ACT will be compared in the two intervention groups vs. the no intervention group. Next, investigators will compare between each of the intervention groups and no intervention group and between the intervention groups. A validated-Greek ACT will be performed via phone interviews at baseline and then at every 1 month during the high DDS period. The frequency of respiratory symptoms will be assessed via child's responses to questions on daytime-night-time symptoms in the past 4 weeks | 4 months | |
Primary | Comparison of the number and duration of high atrial frequency episode between the no intervention group and the intervention groups in adults with AF during the high DDS period of 2019. | AF burden is defined as the overall time percentage with AF during the observed period. An AF episode is considered every detected high atrial frequency episode of >330 ms (180 beats per minute) lasting for longer than 30 s with an atrial sensitivity of 0.5 mV. For the primary analysis, the investigators will compare the combined effect in the two intervention groups versus the no intervention (control) group. Secondarily, the effectiveness of each intervention will be compared versus the no intervention (control group) and to each other. | 6 months | |
Primary | Comparison of the number and duration of high atrial frequency episode between the no intervention group and the intervention groups in adults with AF during the high DDS period of 2020. | AF burden is defined as the overall time percentage with AF during the observed period. An AF episode is considered every detected high atrial frequency episode of >330 ms (180 beats per minute) lasting for longer than 30 s with an atrial sensitivity of 0.5 mV. For the primary analysis, the investigators will compare the combined effect in the two intervention groups versus the no intervention (control) group. Secondarily, the effectiveness of each intervention will be compared versus the no intervention (control group) and to each other. | 6 months | |
Secondary | Comparison of the secondary outcome measures between the no intervention group and the 2 intervention groups during the high DDS period of 2019 | Secondary outcome measures: presence or absence of asthma symptoms in the prior 4-week period, asthma medication use, unscheduled visits for asthma, forced expiratory volume in 1 second, peak expiratory flow, and FeNO | 4 months | |
Secondary | Comparison of the secondary outcome measures between the no intervention group and the 2 intervention groups during the high DDS period of 2020 | Secondary outcome measures: presence or absence of asthma symptoms in the prior 4-week period, asthma medication use, unscheduled visits for asthma, forced expiratory volume in 1 second, peak expiratory flow, and FeNO | 4 months | |
Secondary | Comparison of secondary outcome measures between the no intervention group and the intervention groups in adults with AF during the high DDS period of 2019. | Secondary outcome measures: occurrence of the ventricular arrythmias (assessed through the pacemaker) and heart rate variability | 6 months | |
Secondary | Comparison of secondary outcome measures between the no intervention group and the intervention groups in adults with AF during the high DDS period of 2020. | Secondary outcome measures: occurrence of the ventricular arrythmias (assessed through the pacemaker) and heart rate variability | 6 months | |
Secondary | Comparison of air pollution exposure between the no intervention group and the two intervention groups in children with Asthma during the high DDS periods | Exposure to levels of PM2.5 and PM10 (assessed through particle cascade impactors and particle optical sensors) | 4 months | |
Secondary | Comparison of air pollution exposure between the no intervention group and the two intervention groups in adults with AF during the high DDS periods | Exposure to levels of PM2.5 and PM10 (assessed through particle cascade impactors and particle optical sensors) | 6 months | |
Secondary | Comparison of health related quality of life between the no intervention group and the two intervention groups in adults with AF during the high DDS periods | Changes in Atrial Fibrillation Effect on Quality of life survey (AFEQT questionnaire) | 6 months | |
Secondary | Comparison of arrhythmia medication use between the no intervention group and the two intervention groups in adults with AF during the high DDS periods | Changes in arrhythmia medication | 6 months | |
Secondary | Comparison of unscheduled hospital visits between the no intervention group and the two intervention groups in adults with AF during the high DDS periods | Changes in unscheduled hospital visits | 6 months |
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